antoineneidecker

Advanced_Lane_Finding

CNN-basic-application

In this project we categorise pictures of hands. Each hand picture gestures a number from 0 to 5. We categorise them accordingly.

CNN-numpy-implementation

In this repo, we implement a CNN from mathematical principles. This is done in Andrew Ng's course "Deep Learning".

image-segmentation-keras

Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.

kaggle

ResNets

Here we train a resnet with 23 million parameters. We apply this to a classification of hand gestures.

resume

RugPullDetection

Self-Driving-Car---Project-1

ShoeScrapyTest

antoineneidecker/Advanced_Lane_Finding

antoineneidecker/CNN-basic-application

In this project we categorise pictures of hands. Each hand picture gestures a number from 0 to 5. We categorise them accordingly.

antoineneidecker/CNN-numpy-implementation

In this repo, we implement a CNN from mathematical principles. This is done in Andrew Ng's course "Deep Learning".

antoineneidecker/image-segmentation-keras

Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.

antoineneidecker/kaggle

antoineneidecker/ResNets

Here we train a resnet with 23 million parameters. We apply this to a classification of hand gestures.

antoineneidecker/resume

antoineneidecker/RugPullDetection

antoineneidecker/Self-Driving-Car---Project-1

antoineneidecker/ShoeScrapyTest

antoineneidecker/YAD2K

YAD2K: Yet Another Darknet 2 Keras

antoineneidecker/YOLO

This is an implementation of the YOLO deep learning algorithm. We apply the algorithm on camera giving a driver's view. We categorise cars, road signs, pedestrians from the feed.